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Course Outline
Introduction
- What is Kubefirst?
- Overview of Kubefirst features and architecture
- Integration with open-source tools (Terraform, Vault, Argo, etc.)
Setting up the Development Environment
- Installing and configuring the Kubefirst SDK.
- Selecting and setting up cloud platforms (Local, AWS, Civo, etc.).
- Creating a Kubefirst project in Visual Studio Code.
- Exploring the project structure and files.
Kubefirst Programming Model
- Understanding Kubefirst directives and clauses.
- Using parallel directives to create parallel regions.
- Using kernels directives to parallelize kernels.
- Using loop directives to parallelize loops.
Kubefirst Data Management
- Managing data movement using data directives.
- Synchronizing data with update directives.
- Enhancing data reuse with cache directives.
- Creating device functions with routine directives.
Kubefirst API and Libraries
- Understanding the Kubefirst API within host programs.
- Using the Kubefirst API to query device information.
- Setting device number and type using the Kubefirst API.
- Handling errors and exceptions with the Kubefirst API.
- Utilizing Kubefirst libraries (math, random, complex).
Kubefirst Tools
- Understanding the role of Kubefirst tools.
- Using tools for profiling and debugging Kubefirst programs.
- Measuring and improving execution time with tools (PGI Compiler, NVIDIA Nsight Systems, Allinea Forge).
Kubefirst Applications
- Best practices for developing and deploying with Kubefirst.
- Interoperating with other programming models (CUDA, OpenCL, SYCL).
- Integrating with GPU libraries (cuBLAS, cuFFT).
- Demonstrating the Kubefirst Metaphor demo application.
Summary and Next Steps
Requirements
- Basic understanding of computer architecture and memory hierarchy.
- Familiarity with Docker and Kubernetes concepts and commands.
Target Audience
- Developers.
14 Hours
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